About the Data

The training dataset contains 5400 images of burgers, pizza and soft drinks. You can download the training and testing dataset from the given link:

Dataset Link: https://drive.google.com/file/d/1xFLxi8Akn1iRQ6jFW2A4-jBBHZxup21b/view?usp=sharing

From the above link you will be able to download a zip file named ‘food_classifier_data.zip’. After you extract this zip file, you will get four files:

train - contains all the food images that are to be used for training your model. Each image has a unique name.
Training_set_covid.csv - this csv file contains all the image ids present in the train folder with their respective label of burgers, pizza or softdrinks
test - contains food images. For these images you are required to make predictions as burger, pizza or softdrink
Testing_set_covid.csv - this is the order of the predictions for each image that is to be submitted on the platform. Make sure the predictions you download are with their image’s filename in the same order as given in this file.
sample_submission: This is a csv file that contains the sample submission for the data sprint.

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below.

prediction

burgers

pizza

pizza

softdrinks

burgers

Etc.

Note that the header name should be prediction else it will throw an evaluation error. A sample submission file can be found in the zip file that you have downloaded from the above link.

Acknowledgement

The images are downloaded from multiple sources.

Data Sprint #18: Food Recognition

Challenge Starts

Registration Ends

Challenge Ends